| |
|
|
| |
| |
|
Date Reviewed |
|
| |
1 - 5 of 5
reviews
|
|
|
 |
|
|
|
|
A multiple layer model to compare RNA secondary structures
Allali J., Sagot M. Software--Practice & Experience 38(8): 775-792, 2008. Type: Article
A multi-level data representation, where each level is associated with a different level of information abstraction, is presented in this paper. This representation is applied to the study of RNA secondary structures, particularly for ...
|
Jan 6 2009 |
|
|
|
|
|
|
A model-driven approach to automatic conversion of physical units
Cooper J., McKeever S. Software--Practice & Experience 38(4): 337-359, 2008. Type: Article
The problem driving the research presented in this paper is related to the use and modeling of different physical units in multi-scale models, as well as their automatic checking and conversion. The paper extends CellML with two major ...
|
Aug 21 2008 |
|
|
|
|
|
|
Task mapping and priority assignment for soft real-time applications under deadline miss ratio constraints
Manolache S., Eles P., Peng Z. ACM Transactions on Embedded Computing Systems 7(2): 1-35, 2008. Type: Article
Task mapping and priority assignment are critical to the efficiency of distributed multiprocessor systems. This paper presents a scheduling policy to perform these actions. The proposed method considers the stochastic rather than avera...
|
Jul 16 2008 |
|
|
|
|
|
|
Interoperability among parallel DEVS simulators and models implemented in multiple programming languages
Wutzler T., Sarjoughian H. SIMULATION 83(6): 473-490, 2007. Type: Article
An approach to extend the discrete event system specification (DEVS), based on wrapped executables for simulation interoperability, is presented in this paper. An interface between models and simulations called the abstract model inter...
|
Feb 20 2008 |
|
|
|
|
|
|
On the classification of a small imbalanced cytogenetic image database
Lerner B., Yeshaya J., Koushnir L. IEEE/ACM Transactions on Computational Biology and Bioinformatics 4(2): 204-215, 2007. Type: Article
The classification of cytogenetic images is the focus of this paper. The main characteristics of the dataset used are small and imbalanced. The classification is based on machine learning techniques, such as the na¿ve Bayesian classifi...
|
Sep 27 2007 |
|
|
|
|
|
| |
|
|
| |
|
|
